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Vetted Workflow Orchestration Professionals
Pre-screened and vetted.
Senior Unreal Engine C++ Multiplayer Engineer specializing in networked systems
Mid-Level Software Engineer specializing in AI and distributed backend systems
Mid-level AI Engineer specializing in LLMs, RAG, and production AI microservices
Mid-Level Backend Software Engineer specializing in cloud-native distributed systems
Mid-Level Full-Stack Software Engineer specializing in secure cloud and distributed systems
Mid-level AI/Data Engineer specializing in generative AI and RAG systems
Junior Full-Stack Software Engineer specializing in FinTech and AI systems
Senior Software Engineer specializing in Python and AWS cloud-native backend systems
Senior Backend Developer specializing in AWS serverless and data pipelines
Junior Data Engineer specializing in cloud data pipelines and streaming
Mid-level AI/Data Engineer specializing in LLM agents, RAG, and cloud data pipelines
Intern AI/ML Engineer specializing in LLM agents and healthcare data science
Mid-level Machine Learning & Data Engineer specializing in healthcare analytics and MLOps
Mid-level Data Engineer specializing in cloud data platforms and AI agents
Executive IT Leader specializing in End User Experience & IT Operations
Mid-level Machine Learning Engineer specializing in NLP and AWS data pipelines
Senior Backend Developer specializing in AWS-native Python systems and data workflows
Vamsidhar Vuddagiri
Mid-level AI/ML Engineer specializing in LLMs, MLOps, and Azure
“AI/ML engineer who led Impacter AI’s production deployment of a specialized outreach LLM (CharmedLLM) fine-tuned on GPT-4.1, cutting API costs ~40% while boosting outreach effectiveness ~60%. Built the supporting MLOps and data infrastructure (MLflow, Kubernetes, PySpark, Kafka) and has agentic AI experience from University of Dayton, using LangChain + RAG and vector search (Pinecone) to improve reliability and reduce hallucinations.”
revanth polthi
Mid-level Data Scientist specializing in Generative AI and MLOps
“GenAI/LLM engineer with production experience at Allstate building an end-to-end document intelligence workflow for insurance operations—automating document intake, classification, and risk signal extraction. Emphasizes high-reliability design for regulated/high-stakes outputs using schema enforcement, confidence thresholds, validation rules, and human-in-the-loop routing, with metric-driven offline evaluation and production monitoring.”
Executive Technology Leader (CTO/VP Engineering) specializing in AI-driven commerce platforms
Mid-level Data Engineer specializing in cloud data pipelines and streaming analytics